Paper Citation Record · LEDGER

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization

As of 13 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2411.16901.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16901 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:50:30.795419Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:49:40.412364Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T22:49:40.559467Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy16
unresolved3
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecb3211f-56af-4cf0-b2e2-f8cf3598da4e · outbound

This paper cites Complexity- driven model compression for resource-constrained deep learning on edge,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Complexity- driven model compression for resource-constrained deep learning on edge,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.097493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c26a3c3f-8dcd-4936-baf0-f88fe9b2dd14 · outbound

This paper cites Electrostatic Force Regularization for Neural Structured Pruning.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Electrostatic Force Regularization for Neural Structured Pruning

Reference 2

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Source-reported events for the cited work

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Observation d5d40b8d-c1dc-4edd-b6f4-71a4efdc5fc7 · outbound

This paper cites Torque based structured pruning for deep neural network,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Torque based structured pruning for deep neural network,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.082865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation daf53f9d-2c57-4bf7-a2a3-c13acfac2421 · outbound

This paper cites Accelerating deep neural networks via semi-structured activation sparsity,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Accelerating deep neural networks via semi-structured activation sparsity,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.069686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e4b05d6c-b651-41b0-9ee3-9ecd08b9db0f · outbound

This paper cites Advancing model pruning via bi-level optimization,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Advancing model pruning via bi-level optimization,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.056409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4dbfb7f1-0fd5-4a24-a92e-e2d3341db8ab · outbound

This paper cites Google colaboratory: Online jupyter notebooks,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Google colaboratory: Online jupyter notebooks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.041630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5f535a93-dcc3-4547-abba-1410dda3827f · outbound

This paper cites Neural pruning via growing regularization,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Neural pruning via growing regularization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.026181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation adc4b560-3a92-4dd7-b3fb-951ddc99641d · outbound

This paper cites Channel pruning for accelerating very deep neural networks,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Channel pruning for accelerating very deep neural networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:31.011777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e72aa533-768c-46fe-9c97-8ac5319a109d · outbound

This paper cites Amc: Automl for model compression and acceleration on mobile devices,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Amc: Automl for model compression and acceleration on mobile devices,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.997876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2787c503-d837-4a45-a75d-d78510344bc9 · outbound

This paper cites Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:50:30.754057Z

Source-reported events for the cited work

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Observation f12359bd-ad36-4a16-8f55-1031034f8d75 · outbound

This paper cites Whc: Weighted hybrid criterion for filter pruning on convolutional neural networks,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Whc: Weighted hybrid criterion for filter pruning on convolutional neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.984394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24408c49-66e7-4afd-a8da-e3f138acf552 · outbound

This paper cites Learning filter pruning criteria for deep convolutional neural networks acceleration,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Learning filter pruning criteria for deep convolutional neural networks acceleration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.968647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 34a33db6-ac8d-4daf-b193-524dd46b68a0 · outbound

This paper cites Channel Pruning via Automatic Structure Search.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Channel Pruning via Automatic Structure Search

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T12:50:30.767318Z

Source-reported events for the cited work

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Observation 9558ba8b-8810-49df-85f4-712f28b3ef0c · outbound

This paper cites Channel pruning via lookahead search guided reinforcement learning,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Channel pruning via lookahead search guided reinforcement learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.953192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb9b468e-2412-4111-b9d2-32c5ba8e1318 · outbound

This paper cites Cen- tripetal sgd for pruning very deep convolutional networks with com- plicated structure,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Cen- tripetal sgd for pruning very deep convolutional networks with com- plicated structure,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.935764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e03daa42-bccf-425b-bab5-abb3e9f3870a · outbound

This paper cites Auto- balanced filter pruning for efficient convolutional neural networks,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Auto- balanced filter pruning for efficient convolutional neural networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.920012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 59b6bba0-f675-42b3-967d-1e72229b6ec6 · outbound

This paper cites Eigen- damage: Structured pruning in the kronecker-factored eigenbasis,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Eigen- damage: Structured pruning in the kronecker-factored eigenbasis,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.905462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b0f0706-a90d-48aa-b210-dc5e66b7c781 · outbound

This paper cites Quadratic convolution-based yolov8 (q- yolov8) for localization of intracranial hemorrhage from head ct images,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Quadratic convolution-based yolov8 (q- yolov8) for localization of intracranial hemorrhage from head ct images,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.890827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4d4b88bb-f9c5-4c58-8ed7-39d52f1a9c69 · outbound

This paper cites Residual encoder- decoder based architecture for medical image denoising,.

Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization Residual encoder- decoder based architecture for medical image denoising,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:50:30.875417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 7c214a17-2343-4cd4-975c-bc7c62016753 · inbound

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays cites this paper.

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays Deep Convolutional Neural Networks Structured Pruning via Gravity Regularization

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T22:49:40.565489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.